As artificial intelligence (AI) continues to reshape various industries, its impact on health care is particularly profound. In this blog post, we explore five key insights about the integration of AI technologies, including the promising role of large language models in clinical settings and the current challenges faced in their implementation. With expert perspectives from leaders, we’ll examine how AI is poised to enhance diagnostics, streamline workflows, and navigate regulatory hurdles in the coming years.
1. Large language models (LLMs) that record, transcribe, and summarize clinical notes are likely to be widely adopted within the next 10 years, predicted LDI Senior Fellow Hamsa Bastani, co-lead of the Wharton Healthcare Analytics Lab. The reason: Physicians are eager to have their workloads reduced. “We have a very clear business case for using these models,” Bastani said.